LASSO Variable Selection in Data Envelopment Analysis and Convex Nonparametric Least Squares
碩士 === 國立成功大學 === 製造資訊與系統研究所 === 105 === The number of inputs and outputs factors has significant impacts on the production function estimated by data envelopment analysis (DEA). That is, “curse of dimensionality” is an issue when using a small number of observations for estimating the high-dimensio...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5nj5au |